Intern Foundation Models for Pose Estimation Researcher
Intern Foundation Models for Pose Estimation Researcher
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1 Vacancy
Job Description
Intrinsic is Alphabets bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI perception and simulation will redefine whats possible for industrial robotics in the near future with software and data at the core.
Our mission is to make industrial robotics intelligent accessible and usable for millions more businesses entrepreneurs and developers. We are a dynamic team of engineers roboticists designers and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
Role
Intrinsic is seeking a highly motivated and talented PhD intern to contribute to cuttingedge research in foundation models for pose estimation with potential for publication. This internship offers the opportunity to work on challenging problems at the intersection of computational imaging (depth polarization multiview) computer vision robotics and largescale model training. You will be part of a dynamic team pushing the boundaries of pose estimation technology in the field of industrial robotics.
How your work moves the mission forward
As a PhD Intern specializing in Foundation Models for Pose Estimation you will:
- Research and develop novel architectures training methodologies and datasets for foundation models aimed at improving pose estimation accuracy robustness and generalization.
- Design and conduct experiments to assess the performance of developed models on relevant datasets.
- Collaborate with senior researchers and engineers to integrate research findings into practical applications.
- Publish research findings in toptier conferences and journals (optional but encouraged).
- Develop models that will be deployed in customer factories
- Located in Mountain View or Munich
Skills you will need to be successful
- Strong background in computer vision or machine learning.
- Solid understanding of deep learning techniques and experience with deep learning frameworks (e.g. Jax PyTorch).
- Proficiency in programming (e.g. Python).
- Publications in toptier vision / machine learning conferences
Skills that will differentiate your candidacy
- Currently pursuing a PhD in Computer Science Machine Learning Robotics or a related field.
- Prior experience with pose estimation datasets and evaluation metrics.
- Experience with training and evaluating largescale models.
- Familiarity with foundation models (e.g. vision transformers diffusion models) is highly desirable.
The hourly rate for this position is $70.19 benefits. Rates are determined by role level location and education. Your recruiter will share more about the specific hourly rate for this role during the hiring process.
At Intrinsic we dont just accept difference we celebrate it we support it and we thrive on it for the benefit of our employees our products and our community. We are proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements.
If you have a disability or special need that requires accommodation please contact us at:
Required Experience:
Intern
Employment Type
Intern
